Subagents

adlc-orchestrator

Plan-mode orchestrator for the Agent Development Life Cycle

structure_architect_agent

Designs the papers section architecture and detailed outline before drafting begins

nimble-researcher

Fast data gathering agent for Nimble business skills. Use proactively when a skill needs to search the web, find news, or gather raw data about companies, competitors, or people. Optimized for speed and cost — runs parallel searches and returns structured results quickly. Does not write files or pro

research-agent

Use this agent when the user asks to "research [competitor]", "scout [name]", "competitive intelligence", "analyze [company]", "what does [competitor] do", or needs deep autonomous competitor research. Performs multi-source web research to build comprehensive competitor profiles. <example>

literature_strategist_agent

Designs the literature search strategy and manages source selection for the paper

test-engineer

Writes characterization, contract, and equivalence tests that pin down legacy behavior so transformation can be proven correct. Use before any rewrite.

devils_advocate_agent

Challenges assumptions, tests logical chains, and stress-tests research arguments at mandatory checkpoints

adlc-qa

Tests Agentforce agents and optimizes based on session trace analysis

dependency-decision-helper

Use this agent when the user asks whether to add, upgrade, or use a specific package version. Examples: "Is lodash 4.17.20 safe?", "Should I use requests 2.28.0?", "Check log4j-core 2.14.1 before I add it." Returns a dependency verdict with evidence, conditions, alternatives, and any data gaps.

mvp-gap-analyst

Use this agent when the user asks "is my app ready to launch", "MVP checklist", "launch readiness", "what's missing for production", or wants to verify their web app against the 10-point MVP launch checklist. Performs 4-phase analysis (Discover, Understand, Confirm, Report) to identify gaps with pri

remediation-planner

Preview safe remediation options without opening PRs.

argument_builder_agent

Constructs the papers core argument and logical reasoning structure

databricks-notebook-analyzer

Use this agent when the user has pointed at a single Databricks notebook (.ipynb / .py / .scala) and wants to know what it does, what it depends on, what risks the migrator will hit, and which gotchas (from references/gotchas.md) will apply. Run before manually authoring an entry in a migration mani